SOAR Quality Assurance Engineer

Job Description

Essential Duties and Responsibilities

The following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

• Develop and execute quality assurance and test automation strategies across and array of software stacks such as Security Orchestration and Automated Response system, CI/CD pipelines, Serverless Functions, Containers, Machine Learning/AI/LLM Responses, and other content
• Ensure adherence to quality control standards and advocate for safety throughout the software development lifecycle.
• Exhibit strong programming skills to create robust automated tests that validate software functionality and performance.
• Conduct performance and load testing to simulate user experience and software behavior under varying conditions.
• Utilize data analysis techniques to gain quality insights, inform testing processes, and improve overall product reliability.
• Manage and maintain defect tracking and management systems, ensuring that issues are documented and addressed promptly.
• Participate in Continuous Integration / Continuous Deployment (CI/CD) processes to foster a culture of continuous quality improvement.
• Collaborate closely with developers, product managers, and other stakeholders to refine product features and fix identified defects.
• Provide outstanding written and oral communication abilities to clearly convey quality assurance processes and findings to technical and non-technical stakeholders.

Required Qualifications:

• Bachelor's degree and eight years of experience in systems engineering or administration or an equivalent combination of education and work experience.
• Deep specialized and/or broad functional knowledge in applied enterprise information security technologies.

Preferred Qualifications:

• In-depth knowledge of Software Testing and Quality Assurance Methodologies
• Proficiency in Automated Testing Tools and Frameworks
• Strong background in Data Science for driving quality insights
• Experience with a wide range of software applications, hardware, and networking
• Demonstrated experience in quality control with a high regard for safety standards
• Exceptional problem-solving skills and attention to detail
• Excellent written and oral communication abilities
• Bachelor's degree in computer science or related discipline
• Several years of experience in quality-analysis environments
• Familiarity with Performance and Load Testing
• Experience with Defect Tracking and Management Systems
• Expertise in CI/CD practices

Ability to conduct Data Analysis for Quality Insights

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.